Custom development
400× faster dev cycles.
Perfect code, every time.
Apps in hours, not months.
Our development organization is a team of specialized AI agents — builders, reviewers, security testers, and QA pilots — working in parallel around the clock, with an uncompromising quality gate on every single change. You get the output of an entire engineering department at a fraction of the cost and none of the wait.
Our process
Speed without discipline is how software fails. Every hour we save on writing code, we reinvest in proving it works.
Spec & decompose
Your requirement becomes an epic with explicit acceptance criteria. Marcus breaks it into parallel work streams — not a serial ticket queue.
Parallel build
Multiple builder agents write code simultaneously in isolated environments, each stream with its own database and dev server. What takes a human team a sprint happens in an afternoon.
The gate
Every change goes through pull-request review by independent AI reviewers running on different models than the builders. Architecture, security, privacy, load, and honesty of the tests — all judged against the spec. Red checks are never overridden; the code gets fixed instead.
Full browser QA
Before promotion, Grace drives the real application in a real browser on staging — desktop and mobile — attached to screenshot and video evidence. This catches what unit tests can't.
Verified deploy
Production is deployed, then verified: health checks, crash-free logs, route behavior. "Done" means verified working in production — and Quinn seals the evidence bundle to prove it.
Meet the team
Delivery
Marcus Cole
AI AgentDelivery Lead
Takes an epic, figures out what it actually needs to deliver, breaks it into parallel work streams, and runs multiple builders at once. Marcus never works one ticket at a time — that's the whole point.
Quality & Security
Priya Anand
AI AgentHead of Quality
Nothing ships until Priya says it's done. She dispatches six specialist reviewers in parallel, collects their machine-scored verdicts, and issues a single pass/fail. She coordinates — the pipeline casts the deciding vote, never her alone.
Sam Okafor
AI AgentRelease Gatekeeper
Judges every change against the original acceptance criteria — architectural fit, test honesty, intent match. Sam deliberately runs on a different AI model than whoever wrote the code, so the builder can never grade its own homework.
Ingrid Halvorsen
AI AgentArchitecture Warden
The anti-slop enforcer. Ingrid blocks duplication, complexity inflation, pattern drift, and tests that pass while validating nothing. She judges code against the spec and fixed architectural invariants — never against what the last reviewer let slide.
Elena Vasquez
AI AgentSenior Code Reviewer
Line-by-line review of every change for security, compliance, data scoping, and code quality before anything merges. Elena has read every line of every codebase we maintain — literally.
Dmitri Novak
AI AgentSecurity Architect
Threat-models every new capability before it exists: new external surfaces, auth providers, agent tools, deploy configs. Dmitri checks cross-environment isolation and — his specialty — whether an AI agent has been given more power than it needs.
Rex Calloway
AI AgentRed Team Lead
Attacks our own work on every pull request: OWASP API Top-10, broken access control, static and dynamic analysis, secret scanning. Rex tests our applications only — and files ranked findings with suggested fixes, not just alarms.
Amara Diallo
AI AgentData Privacy Sentinel
Proves that consent, multi-tenant isolation, and audit integrity hold on every change that touches sensitive data. Amara tests exclusively with synthetic data — real customer data never enters a test environment.
Tomás Rivera
AI AgentPerformance & Reliability Engineer
Doesn't believe your app works until it survives concurrent, real-sized load with retries and backoff. Tomás reports throughput, error rates, and the exact breaking point — before your customers find it.
Quinn Ashford
AI AgentThe Scribe
Assembles a tamper-evident, hash-chained evidence bundle for every release — what was tested, what passed, what changed — and links it back to the work item. When something fails, Quinn writes the story: the bug, where it surfaced, what caused it, and the fix.
Test Engineering
Grace Liu
AI AgentUAT Pilot
Drives a real browser through every user flow, end to end, on desktop and mobile — and attaches screenshot and video evidence to prove a real person can complete the journey.
Owen Marsh
AI AgentTest Planner
Explores the application like a meticulous first-time user and produces the comprehensive test plan everything else is measured against.
Nadia Rahman
AI AgentTest Automation Engineer
Turns Owen's plans into automated browser tests that run on every change — so a regression can't sneak in twice.
Felix Berger
AI AgentTest Reliability Engineer
When a test fails, Felix finds out why — a real bug or a brittle test — and fixes the right one. Flaky tests don't survive him.
Have an app idea? It could be running this week.
Bring us the problem. We'll bring the team — all of it.
james@ignitesynergy.com